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The main result of the paper is a characterization of the common null pair in terms of realization of the functions in question.
The Bezoutian based on realizations of the functions in question turns out to be most adequate and is studied in depth.
It seems essential in future research to refer more specifically to the processes and functions in question instead of impulsivity.
But we can define a notion of complexity near-superiority of f to g iff there is some constant k such that for any string, Cf ≤ Cg + k. f is least as good as g, subject to some constant which is independent of the functions in question.
Such measures are valid because they rely on detailed, and widely accepted, theoretical models of the functions in question.
The executive functions in question are updating and inhibition, both of which are likely to be engaged during speech understanding in adverse conditions.
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The researcher begins by assuming that natural selection works optimally, in the sense that the feature (or set of features) eventually selected represents the best adaptation for performing the function in question.
Although propositions are supposed to be meanings of sentences, no one can grasp such an infinite class directly when understanding a sentence; he can do so only by means of some particular algorithm, or recipe (as it were), for computing the function in question.
This implies that the function in question will be a continuous function.
This measure is not the standard Lebesgue measure, but rather a measure defined by the chance function in question.
If function is indeed transparent, it should not be implausible to suppose that reference is determined by a description that specifies the function in question.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com